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An Optimum Policy for Detecting a Fault in a Complex System

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  • Brian Gluss

    (Armour Research, Foundation of Illinois Institute of Technology, Chicago, Illinois)

Abstract

Consider a complex system consisting of N modules containing n (1), ..., n ( N ) items or sub-circuits. A very simple device of this nature, for example, would be a hi-fi set, where the amplifier, the cartridge, the speaker(s) and the turntable could be considered to be the modules, and the various parts of each as the basic items in which faults could occur. A more realistic application of the results obtained might be to a radar-missile system, in which surveillance radar, tracking radar, communications system, computer, missile launcher and missile, or parts of them, represent the modules. When the system breaks down, the procedure for detecting the breakdown and hence repairing the system will determine the time taken to repair it. Assuming two different possible models, equations are developed for the optimum policy, i.e., the policy which minimizes the expected amount of time consumed or penalties paid, and these equations are solved for the first model. Model I assumes that over-all tests of each module may be performed, and individual item tests within modules, model II assumes that over-all module tests are not possible, and that penalty costs must be paid whenever the search moves from one module to another. In both models, penalty costs---in time, for example---are associated with the testing of each item and module.

Suggested Citation

  • Brian Gluss, 1959. "An Optimum Policy for Detecting a Fault in a Complex System," Operations Research, INFORMS, vol. 7(4), pages 468-477, August.
  • Handle: RePEc:inm:oropre:v:7:y:1959:i:4:p:468-477
    DOI: 10.1287/opre.7.4.468
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    Cited by:

    1. Daoud Aït-Kadi & Zineb Simeu-Abazi & Ahmed Arous, 2018. "Fault isolation by test scheduling for embedded systems using a probabilistic approach," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 641-649, March.
    2. Robbert Fokkink & Thomas Lidbetter & László A. Végh, 2019. "On Submodular Search and Machine Scheduling," Management Science, INFORMS, vol. 44(4), pages 1431-1449, November.
    3. Stanley J. Benkoski & Michael G. Monticino & James R. Weisinger, 1991. "A survey of the search theory literature," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(4), pages 469-494, August.
    4. Rostami, Salim & Creemers, Stefan & Wei, Wenchao & Leus, Roel, 2019. "Sequential testing of n-out-of-n systems: Precedence theorems and exact methods," European Journal of Operational Research, Elsevier, vol. 274(3), pages 876-885.
    5. Agnetis, Alessandro & Hermans, Ben & Leus, Roel & Rostami, Salim, 2022. "Time-critical testing and search problems," European Journal of Operational Research, Elsevier, vol. 296(2), pages 440-452.

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